Data Science Certificates Near Me

Learn More About Data Science Certificates

What is Data Science?

Data science is an interdisciplinary field that uses various techniques, algorithms, processes, and systems to extract knowledge and insights from structured and unstructured data. It combines elements of mathematics, statistics, computer science, and domain-specific knowledge to analyze data and make informed decisions. The term "data science" was coined in the early 1960s but gained prominence in the 21st century with the advent of big data and high-powered computing. Advances in storage and processing capabilities have made it possible to analyze large datasets, giving rise to the modern field as we know it today.

In terms of applications, data science is widely used in various industries, such as healthcare, finance, retail, and technology. For example, in healthcare, it can be used for predictive analytics to identify patient health trends or optimize hospital logistics. Data science techniques help in risk assessment, fraud detection, and algorithmic trading in finance. Retailers use data science for inventory management, customer segmentation, and targeted marketing. Thus, the field has a broad range of uses that continue to evolve as data collection and analysis methods become more sophisticated.

Why Become Certified in Data Science?

A Data Science certification is an excellent way to gain specialized knowledge and demonstrate your expertise in the field. As the importance of data-driven decision-making grows, organizations seek professionals who can make sense of vast amounts of data. Having a certification under your belt formally recognizes your skills, making you a more attractive candidate for opportunities in various industries, including healthcare, finance, and technology.

Pursuing a Data Science certification also provides a structured learning environment where you can engage with key topics like machine learning, data visualization, and statistical analysis in a focused manner. Many certification programs offer hands-on experience with real-world projects, allowing you to apply theoretical knowledge to practical scenarios. This project-oriented approach can be extremely beneficial for grasping complex concepts and technologies, ultimately enabling you to contribute more effectively in professional settings.

What You’ll Learn While Becoming Data Science Certified

Learning data science will involve learning various skills, including programming languages, statistical concepts, analysis tools and visualization applications.

Python

Python is a versatile programming language that has gained widespread popularity in various fields, including data science. Its simplicity and readability make it an excellent choice for both beginners and experts in the data science domain. Python offers a wide range of libraries such as Pandas, NumPy, and Matplotlib that facilitate data manipulation, statistical analysis, and visualization. Moreover, machine learning frameworks like scikit-learn and TensorFlow allow for more advanced analyses and predictive modeling. Overall, Python is a comprehensive toolset for data scientists, enabling them to turn raw data into actionable insights efficiently.

Data Visualization

Data visualization is a critical aspect of data science, focusing on the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools enable analysts to see and understand trends, patterns, and insights in large datasets. In data science, visualization serves as the final stage for presenting findings and an essential part of the exploratory data analysis (EDA) process. Through this, professionals can gain insights that may guide more complex analyses or machine learning models. Overall, data visualization adds a layer of clarity and context to numerical and textual data, making it easier for both technical and non-technical audiences to interpret and make data-driven decisions.

Machine Learning

Machine learning is a crucial component of data science that focuses on the development of algorithms and statistical models to enable computers to perform tasks without using explicit instructions. It provides the foundation for making predictions or automated decisions based on data. For instance, machine learning algorithms can be trained to identify patterns or anomalies in large data sets, which can be invaluable for fields ranging from healthcare to finance. By automating complex tasks, machine learning frees data scientists to focus on more strategic aspects of data analysis, such as interpreting results and implementing actionable insights. Overall, machine learning enhances the capabilities of data science by adding an element of automation and predictive accuracy.

Statistics and Mathematics

Statistics and math in data science are fundamental to the field's ability to analyze and interpret complex data sets. Statistics provides the methodologies for collecting, summarizing, and making inferences from data, which is invaluable when making decisions based on data analysis. Mathematical concepts such as linear algebra and calculus are often employed in machine learning algorithms and optimization techniques. These foundational skills are essential for developing models predicting future events or classifying data into various categories. A strong understanding of statistics and math equips data scientists with the tools necessary to convert raw data into actionable insights.

Microsoft Excel

Microsoft Excel is a powerful tool commonly used in the field of data science for data manipulation and analysis. It offers a range of functionalities including the ability to sort, filter, and visualize data easily through a graphical interface. While not as robust as programming languages like Python or R for complex statistical analysis, Excel provides a convenient platform for basic statistical tests and exploratory data analysis. Pivot tables in Excel allow users to summarize and aggregate data, facilitating quick insights. Overall, Excel serves as an accessible entry point for data manipulation and preliminary analysis, but for more advanced data science tasks, other specialized tools are often more appropriate.

Data Science Industries

Learning data science helps students pick up skills that are applicable across a wide range of industries. For example, the healthcare industry is increasingly leveraging the skills acquired in a data science certificate program to improve patient care, optimize operational efficiencies, and advance research. Data Scientists in healthcare work on a myriad of projects, from predictive modeling for patient outcomes to analyzing large sets of genomic data. They apply machine learning algorithms to make sense of complex medical records, helping doctors and medical professionals make informed decisions. Statistical methods are also used to evaluate the efficacy of new drugs, treatment plans, or healthcare policies. Through these applications, data science transforms healthcare into a more data-driven field emphasizing evidence-based practices.

Financial services is another sector where data science skills are highly sought after. Risk assessment, fraud detection, and customer segmentation are just areas where data science significantly impacts. Data Scientists in this industry build complex models to predict market trends and help in algorithmic trading. They analyze massive datasets that could include variables from stock prices to global economic indicators. Advanced analytics techniques are employed to comply with regulatory requirements, evaluate risks, and create new investment strategies. Data science has become a cornerstone for staying competitive in an industry that thrives on accurate and quick decisions.

The retail industry has also quickly adopted data science to optimize every facet of its operations. Data scientists in retail work on problems like demand forecasting, customer segmentation, and even optimizing the placement of products within stores. Machine learning models are developed to personalize marketing strategies, tailoring promotions and advertisements to individual consumer behaviors. Natural language processing (NLP) algorithms analyze customer reviews and social media feeds to gauge public sentiment and identify areas for improvement. Data science helps retail businesses understand their customers better, manage inventory more efficiently, and ultimately, maximize profits.

Data Science Careers

Data Scientists are professionals responsible for working with huge amounts of data and building the infrastructure and applications that allow individuals to use this data. Data is becoming a major business and an important part of nearly every industry, and Data Scientists are responsible for making this data as accessible and navigable as possible. Most Data Scientists will work on computer science projects to produce better methods and tools for collecting, organizing, cleaning and analyzing datasets. They are also responsible for building models to help interpret data and create the database infrastructure for storing data. Data Scientists can find work in almost any field because data has become such an important part of running successful businesses. On average, in the US, Data Scientists earn approximately $124,000 a year.

One of the more exciting developments in the field of data science is machine learning, and dedicated Machine Learning Engineers are in high demand. While machine learning has traditionally been used primarily for creating tools like content recommendation algorithms, the development of publicly available LLMs and other AI tools has greatly expanded the use cases for machine learning algorithms. Machine Learning Engineers will be responsible for building the algorithms that underpin these AI tools and teaching the tools to interpret data in a useful and productive way for businesses and other institutions. In the US, Machine Learning Engineers earn an average salary of about $161,000.

Should You Pursue a Certificate or Certification

Students looking to become certified in data science may be interested to learn that there are actually two different ways to go about the process. They can either earn a certificate through a training course or they can receive certification by taking a formal exam. Certificates are akin to diplomas since they are given to students who complete professional skills training courses. Certifications are digital signifiers that a student has completed a formal exam offered by an industry-recognized provider.

The choice to pursue a certificate or certification is likely to come down to how much experience you have in data science and its related subject matter. Students who are new to the field and looking to build their skills to start a new career will likely benefit from the training they receive in a certificate-granting program. Students with significant experience in data science, either from prior training, college classes or on-the-job experience, are more likely to benefit from the experience of taking a certification exam. Students can also enroll in a certificate program to brush up on their skills and study for an exam. Very few certification exams come with any form of skills training; most charge money for study materials and sample exams.

Top Data Science Certificate Programs

Attending a data science certificate program is an ideal way to pick up the skills needed to become a professional Data Scientist in only a few months. These courses will teach students everything from statistical analysis to Python programming and machine learning, making them good places to learn a robust and expansive set of skills. Students will be able to enroll in online or in-person courses. These classes can help students prepare for the kinds of professional responsibilities they will have as Data Scientists. Enrolling in a data science certificate program is an excellent way to prepare for a career change and enter an in-demand, high-paying field.

Noble Desktop: Data Science Certificate

Noble Desktop offers a comprehensive Data Science Certificate program that aims to help students become career-ready data science specialists. This course, which is offered at Noble’s Manhattan campus or in a live online classroom, provides students with real-time instruction on the latest data science principles and techniques. Students can interact with their instructors and receive immediate feedback and support, even if they are learning online. Noble’s courses are career-focused training certificate programs, so students will get hands-on experience working with real-world data science projects and exercises, grounding them in important practical skills. Students will also receive one-on-one career mentoring support and have the opportunity to work on building a professional portfolio to include with their job materials. Students can retake the course for free within one year to get even more data science training and experience.

In this course, students will learn the foundational theories of data science and how to put those theories into practice in data analysis and collection projects. Students will also learn how to write code using Python and how to use that code to automate and simplify data-related tasks. Lessons will cover skills like utilizing Python libraries and frameworks to create, compile and organize databases and writing code that completes complex queries of huge datasets. Students will get hands-on experience working with data visualization tools, such as Tableau, and students will be introduced to the process of writing machine learning algorithms that can automate large analysis tasks. By the end of the course, students will have gotten a complete introduction to the world of data science and be prepared to start seeking work as Data Scientists.

Noble Desktop: FinTech Bootcamp

Often, Data Scientists end up specializing in working with data for specific industries, and one of the industries that has been significantly altered by this data revolution is the finance and investing industry. Every day, financial markets produce so much data and information that a thousand humans couldn’t begin to keep up with it. FinTech refers to the general field of data science and analytics that applies technology-driven data solutions to finance and investing questions. In the FinTech Bootcamp program, students will learn how to use data analysis tools to make informed decisions about a company or client’s finances. This course is available online or in person, and students enrolled in the class will receive all of the benefits of a Noble Desktop certificate program, including one-on-one mentorship with experts in their field and an option to retake the course for free within one year.

Students enrolled in this course will first learn data science techniques, including using programs like Excel and how to read and write code in Python. Then, students will apply this training to specific financial contexts such as investments, assets and financial accounts. To facilitate this, students will learn data analytics techniques, including how to create complex data visualizations and charts and financial literacy skills, such as reading and interpreting the financial statements that companies make public and navigating the stock market. This course is an ideal place to start learning the data science skills necessary for working in the modern financial industry, and it is a good way to jumpstart a career change.

General Assembly: Data Science Bootcamp

General Assembly offers an immersive Data Science Bootcamp for students of all skill levels looking to make a career change and enter into the world of data science. This course is taught by skilled instructors who are able to provide students with personalized support and feedback, and courses are available to students in person and online. As a career-focused bootcamp, students will receive focused career advice at every step of the process and be able to access General Assembly’s network of over 95,000 alumni. This will give students access to vast networking and hiring opportunities, opening the door to help them find a job in any number of different fields.

This program focuses on practical data science skills and training, including Python, Excel, Tableau and machine learning. Students will start by learning basic data modeling skills in a 12-hour recorded tutorial before beginning to work in live classroom lessons on subjects like the fundamentals of data science, data analysis and classic statistical modeling. Once students are comfortable with these skills, they will receive training in Python programming and the process of writing machine learning algorithms. This course aims to help students stay on the cutting edge of data science technologies and prepare themselves for new trends in the field that are likely to emerge due to strides in machine learning technologies.

Digital Workshop Center: Python Data Science Certificate

Digital Workshop Center offers a live online Python Data Science Certificate course for students looking to become career-ready Data Scientists with the help of live instructors able to provide them with guidance and support. Students enrolled in this course will receive guided career mentorship and intensive training in data science skills that are in high demand. In addition to career coaching services and networking opportunities, Digital Workshop Center partners with Parker-Dewey to provide students with opportunities for micro-internships to get them practical experience and a background in real-world working conditions. Finally, students will conclude the course with a capstone project that they can use to demonstrate their proficiency in data science tasks.

This course starts with an introduction to data science principles and foundations, including how to read and write code using Python. This course offers a beginner-friendly introduction to the world of computer science, so students won’t need any background in Python to apply. Once students are comfortable with their Python training, students will learn how the language is utilized in data science contexts, including working with databases and large-scale machine learning algorithms. This training will prepare students for the kind of programming and analytical work they will do as Data Scientists. The lessons aim to give students an immersive understanding of the importance of data across various fields.

eCornell: Data Science Certificate

Cornell University offers online certificate programs through their eCornell school, giving students the opportunity to learn career skills like those taught in the Data Science Certificate program. This program offers students the opportunity to learn in-demand data science skills from professional instructors vetted by Cornell University. Students will learn in-depth data analytics skills and have the opportunity to expand on their existing programming and mathematics knowledge. The program lasts four months, with each course lasting approximately two weeks and students are expected to spend between six and twelve hours a week in class. Students must be comfortable with the R programming language and have a college-level understanding of calculus.

This course begins with a series of lessons in data analytics and the process of constructing analytic models using techniques like association rules, factor analysis and cluster and hotspot analysis. Then, students will start working with machine learning algorithms and get hands-on experience in the process of training these algorithms on large datasets. Students will learn how to supervise the learning process, and they will learn how neural networks and artificial intelligence applications can learn without operator interference. Finally, students will learn practical skills for applying data analysis tools and processes to real-world problems. Through hands-on exercises, students will learn how to optimize their models and make data-driven, informed decisions on everything from policy to finance using data simulations.

NextGen Bootcamp: Python Data Science & Machine Learning Live Online Program

It is never too early to start learning skills like computer programming, data analysis and logic. In NextGen Bootcamp’s Python Data Science & Machine Learning Program, students in high school will have the chance to receive expert instruction on how to write code in Python and how to use that code to start performing data science tasks. Students can attend the course in person at NextGen’s Manhattan location or from anywhere in a live online classroom. Students can receive real-time, hands-on instruction regardless of classroom modality. Instructors can provide students with immediate personalized guidance and feedback, and all of the skills students learn in this course will apply to future computer science training classes.

This course will introduce students to the world of Python programming, one of the most popular programming languages in the world. Students will learn to read and write code and work with real-world databases and case studies. Once students are comfortable using Python to construct, query and analyze databases, they will begin learning about the structure and form of machine learning algorithms. This training will allow them to start writing their own simple algorithms and teaching machine learning applications to perform simple tasks. This course is a great introduction to data science and computer science more generally and is perfect for beginners looking to learn to code while staying on the cutting edge of new technologies.

Data Science Courses by School

Here are some of the top schools offering Data Science training, including Noble Desktop (12 courses), Practical Programming (5 courses), and Thinkful (4 courses).

Noble Desktop

NYC location: 185 Madison Avenue, New York, NY

Founded in 1990, Noble Desktop offers part-time and full-immersion courses on anything you can think of from design and coding to business. Located in New York City and providing courses both online and in-person, Noble Desktop prides itself on accommodating dynamic courses and bootcamps with hands-on learning, time-tested curriculums, and education from top industry experts.
- Data Analytics Certificate
  - 156 Hours
  - $4,995
- Data Science & AI Certificate
  - 114 Hours
  - $3,995
- Python for Data Science Bootcamp
  - 30 Hours
  - $1,495
- Python Machine Learning Bootcamp
  - 30 Hours
  - $1,895
General Assembly
Locations:
- Atlanta
- Austin
- Boston
- Chicago
- Dallas
- Denver
- Detroit
- Houston
- Los Angeles
- Miami
- Minneapolis
- Nashville
- NYC
- Orlando
- Phoenix
- Raleigh
- Salt Lake City
- San Diego
- San Francisco
- Seattle
- Tampa
- Toronto
- Washington, D.C.
- London
- Charlotte
- Louisville
- St. Louis
- Live Online
- Melbourne
- Sydney
- Paris
- Singapore
+ 27 more
General Assembly provides a variety of bootcamps and workshops in digital marketing, user experience design, and immersive courses in software engineering and data science. Students have a choice between part-time, full-time, or online classes, committed to finding you the most flexible fit for your busy schedule.
- Data Science Bootcamp (Online)
  - 12 Weeks
  - $16,450
- Data Science Short Course (Online)
  - 10 Weeks
  - $4,500
- Data Analytics Short Course (Online)
  - 10 Weeks
  - $4,500
- Data Analytics Bootcamp (Online)
  - 12 Weeks
  - $16,450
Utah State University

Salt Lake City location: Old Main Hill, Logan, UT

Utah State University is a public research university known for its diverse academic offerings and strong focus on research. It also offers tech bootcamps in collaboration with Fullstack Academy, providing students with cutting-edge training in technology fields.
- Online Data Analytics Bootcamp (Full or Part Time)
  - 10 Weeks
  - $14,495
University of Illinois Chicago

Chicago location: 1200 West Harrison St., Chicago, IL

The University of Illinois Chicago (UIC) is a school in the heart of Chicago, known for its inclusive community and strong programs. It offers a wide selection of undergraduate and graduate programs across various fields, including health sciences, engineering, and business.
- Online Data Analytics Bootcamp (Full or Part Time)
  - 10 Weeks
  - $14,495
University of San Diego Tech Bootcamps

San Diego location: 5998 Alcala Park, San Diego, CA

University of San Diego Tech Bootcamps are immersive programs preparing students for careers in tech. Students can take classes in coding or cybersecurity, developing beginner to advanced skills in web development. The University of San Diego has partnered with Fullstack Academy to power its tech bootcamps.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
The Tech Bootcamps at UNF

Jacksonville location: 12000 Alumni Dr, Jacksonville, FL

The Tech Bootcamps at the University of North Florida offers 26-week part-time programs in cybersecurity and coding in Jacksonville, Florida. The bootcamps are offered through the Division of Continuing Education in partnership with Fullstack Academy.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
University of Oklahoma College of Continuing Education

Tulsa location: 1700 Asp Avenue, Norman, OK

The University of Oklahoma College of Continuing Education, in collaboration with Fullstack Academy, offers a range of tech bootcamps, delivering intensive, immersive learning experiences in a live online format taught by industry-experienced instructors. This esteemed institution is renowned for its commitment to providing accessible, high-quality education, enabling students to enhance their skills and knowledge in cutting-edge technology fields while balancing other life commitments.
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495
- Online Data Analytics Bootcamp (Full or Part Time)
  - 10 Weeks
  - $14,495
Wake Forest University School of Professional Studies

Charlotte location: 1834 Wake Forest Road, Winston-Salem, NC

The Wake Forest University School of Professional Studies offers a range of tech bootcamps in collaboration with Fullstack Academy, a renowned tech training provider. These programs, led by industry-experienced instructors, are designed to provide immersive online training in fields such as coding, cybersecurity, and data analytics.
- Online Data Analytics Bootcamp (Full or Part Time) (Online)
  - 10 Weeks
  - $14,495
Cleveland State University

Cleveland location: 2121 Euclid Ave, Cleveland, OH

Located in the heart of Cleveland, Ohio, Cleveland State University stands out for its academic programs and active involvement in the community. Enhancing its educational scope, the university collaborates with Fullstack Academy to offer tech bootcamps.
- Online Data Analytics Bootcamp (Full or Part Time)
  - 10 Weeks
  - $14,495
Louisiana State University

Baton Rouge location: 494 E. Parker Blvd, Baton Rouge, LA

Louisiana State University, set in the vibrant city of Baton Rouge, is distinguished for its comprehensive educational offerings and a strong emphasis on research. The university has expanded its educational horizon by partnering with Fullstack Academy to offer technology-focused bootcamps.
- Online Data Analytics Bootcamp (Full or Part Time)
  - 10 Weeks
  - $14,495
- Online AI & Machine Learning Bootcamp
  - 26 Weeks
  - $14,495

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Key Insights

Learn More About Data Science Certificates

What is Data Science?

Why Become Certified in Data Science?

What You’ll Learn While Becoming Data Science Certified

Python

Data Visualization

Machine Learning

Statistics and Mathematics

Microsoft Excel

Data Science Industries

Data Science Careers

Should You Pursue a Certificate or Certification

Top Data Science Certificate Programs

Noble Desktop: Data Science Certificate

Noble Desktop: FinTech Bootcamp

General Assembly: Data Science Bootcamp

eCornell: Data Science Certificate

NextGen Bootcamp: Python Data Science & Machine Learning Live Online Program

Data Science Courses by School

Data Science Bootcamp (Online)

Data Science Short Course (Online)

Data Analytics Short Course (Online)

Data Analytics Bootcamp (Online)

Utah State University

Online Data Analytics Bootcamp (Full or Part Time)

University of Illinois Chicago

Online Data Analytics Bootcamp (Full or Part Time)

Online AI & Machine Learning Bootcamp

Online AI & Machine Learning Bootcamp

University of Oklahoma College of Continuing Education

Online AI & Machine Learning Bootcamp

Online Data Analytics Bootcamp (Full or Part Time)

Wake Forest University School of Professional Studies

Online Data Analytics Bootcamp (Full or Part Time) (Online)

Cleveland State University

Online Data Analytics Bootcamp (Full or Part Time)

Louisiana State University

Online Data Analytics Bootcamp (Full or Part Time)

Online AI & Machine Learning Bootcamp

Data Science Corporate & Onsite Training Noble Desktop

Data Science Training Map & Top Locations

68 Certificate Courses Available Live Online

30 Certificate Courses Available in NYC

13 Certificate Courses Available in Chicago

10 Certificate Courses Available in Los Angeles

9 Certificate Courses Available in Dallas

7 Certificate Courses Available in San Diego

6 Certificate Courses Available in Houston

6 Certificate Courses Available in San Francisco

6 Certificate Courses Available in Seattle

6 Certificate Courses Available in Washington, D.C.

6 Certificate Courses Available in Atlanta

5 Certificate Courses Available in Charlotte

5 Certificate Courses Available in Phoenix

5 Certificate Courses Available in Denver

5 Certificate Courses Available in Minneapolis

5 Certificate Courses Available in Miami

4 Certificate Courses Available in Boston

4 Certificate Courses Available in Austin

4 Certificate Courses Available in Orlando

4 Certificate Courses Available in St. Louis

4 Certificate Courses Available in Tampa

3 Certificate Courses Available in Virginia

2 Certificate Courses Available in NJ

1 Certificate Course Available in Philadelphia

1 Certificate Course Available in CT

Careers & Salaries Related to Data Science

Related Classes

Data Science Topics

Python Data Science

SQL

Data Science
Corporate & Onsite Training